spelling and clarify

docs/model_evaluation/evaluation_on_gadi/index.md

@@ -1,15 +1,13 @@
 # Model Evaluation on Gadi
 
-Model evaluation is about measuring how fit for purpose a particular model is. 
-
-Model evaluation in climate science is the process of assessing the performance and reliability of computational models that simulate the Earth's climate system. It involves comparing model predictions to observed data to determine the model's accuracy and usefulness. In doing so, we can understand how well a model represents real-world climate processes and make predictions about future climate trends. Such rigorous model evaluation allows scientists to identify model strengths, weaknesses and uncertainties, as well as refine models to enhance their predictive capabilities. 
+Model evaluation is about measuring how fit for purpose a particular model is. Model evaluation in climate science is the process of assessing the performance and reliability of computational models that simulate the Earth's climate system. It involves comparing model predictions to observed data to determine the model's accuracy and usefulness. In doing so, we can understand how well a model represents real-world climate processes and make predictions about future climate trends. Such rigorous model evaluation allows scientists to identify model strengths, weaknesses and uncertainties, as well as refine models to enhance their predictive capabilities. 
 
 ## What is Model Evaluation and Diagnostics?
 
 Model Evaluation and Diagnostics (often shortened to "MED" at ACCESS-NRI) of ACCESS models includes:
 
 - **Evaluation**<br>
-    Model evaluation involves scrutinising a model's performance by comparing its output with observations. It also includes experiment comparisons, model testing with different scenarios and inter-model comparisons such as those used to prepare for Coupled Model Intercomparison Project (CMIP) submissions. For further explainations on experiements see [here](../../about/user_support/#frequently-asked-questions-faq).
+    Model evaluation involves scrutinising a model's performance by comparing its output with observations. It also includes experiment comparisons, model testing with different scenarios and inter-model comparisons such as those used to prepare for Coupled Model Intercomparison Project (CMIP) submissions. For further explanations on experiments, see [here](../../about/user_support/#frequently-asked-questions-faq).
 
 - **Diagnostics**<br>
     Model diagnostics is the constant monitoring of model runs to detect any anomalies or inconsistencies. 

docs/model_evaluation/evaluation_on_gadi/model_live_diagnostics.md

@@ -64,7 +64,7 @@ Use the dropdown menu to select and plot any available model variables listed.
     <img src="../../../assets/model_evaluation/live_diagnostics/tutorial_image_4.png" alt="Plot of total liquid seawater mass over time of the ‘live’ ACCES CM2 run." width="75%"/>
 </div>
 
-It is also possible to load and compare <i>legacy data</i>, such as other ACCESS-CM2 models referred to as <i>by578</i> and <i>by578a</i>:
+The plot above shows the users own 'live' data so doesn't have a name. It is also possible to load and compare <i>legacy data</i>, such as other previous ACCESS-CM2 model runs (<i>by578</i> and <i>by578a</i> etc.)
 
 <div style="text-align: center;">
     <img src="../../../assets/model_evaluation/live_diagnostics/tutorial_image_7.png" alt="Plot of total liquid seawater mass over time of the ‘live’ ACCES CM2 run when compared to legacy model data." width="75%"/>